A comparison on scalability for batch big data processing on Apache Spark and Apache Flink-Reference-Cited by-同舟云学术

A comparison on scalability for batch big data processing on Apache Spark and Apache Flink

Published:2017-03-01 Issue:1 Volume:2 Page:
ISSN:2058-6345
Container-title:Big Data Analytics
language:en
Short-container-title:Big Data Anal

Author:

García-Gil Diego^ORCID,Ramírez-Gallego Sergio,García Salvador,Herrera Francisco

Funder

Spanish Ministry of Science and Technology

Andalusian Research Plan

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s41044-016-0020-2.pdf

Reference21 articles.

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2. Dean J, Ghemawat S. Mapreduce: Simplified data processing on large clusters. In: Proceedings of the 6th Conference on Symposium on Opearting Systems Design & Implementation - Volume 6. OSDI’04. Berkeley: USENIX Association: 2004. p. 10–10.

3. Apache Hadoop Project. Apache Hadoop. http://hadoop.apache.org . Accessed 14 July 2016.

4. White T. Hadoop: The Definitive Guide. Sebastopol: O’Reilly Media, Inc; 2012.

5. Hamstra M, Karau H, Zaharia M, Konwinski A, Wendell P. Learning Spark: lightning-fast big data analytics. Sebastopol: O’Reilly Media; 2015.

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